About
You are invited to view the Twenty-Third Annual Conference on Neural Information Processing Systems, which is the premier scientific meeting on Neural Computation.
A one-day Tutorial Program offered a choice of six two-hour tutorials by leading scientists. The topics span a wide range of subjects including Neuroscience, Learning Algorithms and Theory, Bioinformatics, Image Processing, and Data Mining.
The NIPS Conference featured a single track program, with contributions from a large number of intellectual communities. Presentation topics included: Algorithms and Architectures; Applications; Brain Imaging; Cognitive Science and Artificial Intelligence; Control and Reinforcement Learning; Emerging Technologies; Learning Theory; Neuroscience; Speech and Signal Processing; and Visual Processing.
The Poster Sessions offered high-quality posters and an opportunity for researchers to share their work and exchange ideas in a collegial setting. The majority of contributions accepted at NIPS were presented as posters.
The Demonstrations enabled researchers to highlight scientific advances, systems, and technologies in ways that go beyond conventional poster presentations. It provided a unique forum for demonstrating advanced technologies — both hardware and software — and fostering the direct exchange of knowledge.
Detailed information can be found at NIPS 2009 Conference Homepage.
Click on the picture for the videos from 2009 NIPS Workshops. ||[[:nipsworkshops09_whistler]]||
Related categories
Uploaded videos:
Invited Talks
Relative Entropy
Jan 25, 2010
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25109 Views
Deep Learning with Multiplicative Interactions
Jan 20, 2010
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19555 Views
The Rat Vibrissal Array as a Model Sensorimotor System
Jan 19, 2010
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4529 Views
Learning and Inference in Low-Level Vision
Jan 19, 2010
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14036 Views
Bayesian Analysis of Markov Chains
Jan 19, 2010
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10423 Views
Tutorials
Making Very Large-Scale Linear Algebraic Computations Possible Via Randomization
Jan 19, 2010
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8763 Views
Understanding Visual Scenes
Jan 19, 2010
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28277 Views
Model-Based Reinforcement Learning
Jan 19, 2010
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24616 Views
Sparse Methods for Machine Learning: Theory and Algorithms
Jan 19, 2010
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36817 Views
Deep Learning in Natural Language Processing
Jan 19, 2010
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29960 Views
Sequential Monte-Carlo Methods
Jan 19, 2010
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43645 Views